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Edouard Ivanjko
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2020 – today
- 2024
- [j6]Martin Greguric
, Filip Vrbanic
Impact of federated deep learning on vehicle-based speed control in mixed traffic flows. J. Parallel Distributed Comput. 186: 104812 (2024) - [c13]Mladen Miletic, Ivana Dusparic, Edouard Ivanjko:
Growing Neural Gas in Multi-Agent Reinforcement Learning Adaptive Traffic Signal Control. ATT@ECAI 2024: 16-30 - 2023
- [j5]Kresimir Kusic, René Schumann
A digital twin in transportation: Real-time synergy of traffic data streams and simulation for virtualizing motorway dynamics. Adv. Eng. Informatics 55: 101858 (2023) - [j4]Martin Greguric
Towards the spatial analysis of motorway safety in the connected environment by using explainable deep learning. Knowl. Based Syst. 269: 110523 (2023) - 2022
- [j3]Martin Greguric
Impact of Deep Reinforcement Learning on Variable Speed Limit strategies in connected vehicles environments. Eng. Appl. Artif. Intell. 112: 104850 (2022) - [j2]Leo Tisljaric
Motorway Bottleneck Probability Estimation in Connected Vehicles Environment Using Speed Transition Matrices. Sensors 22(7): 2807 (2022) - [c12]Zeljko Majstorovic, Leo Tisljaric, Edouard Ivanjko, Tonci Caric:
Intersection Traffic State Estimation using Speed Transition Matrix and Fuzzy-based Systems. ICINCO 2022: 193-200 - [c11]Filip Vrbanic
Reinforcement Learning Based Variable Speed Limit Control for Mixed Traffic Flows Using Speed Transition Matrices for State Estimation. MED 2022: 1093-1098 - [c10]Mladen Miletic, Dino Cakija
Impact of Connected Vehicles on Learning based Adaptive Traffic Control Systems. SMC 2022: 3311-3316 - 2021
- [c9]Kresimir Kusic, Edouard Ivanjko, Filip Vrbanic, Martin Greguric, Ivana Dusparic:
Dynamic Variable Speed Limit Zones Allocation Using Distributed Multi-Agent Reinforcement Learning. ITSC 2021: 3238-3245 - [c8]Filip Vrbanic
Reinforcement Learning Based Variable Speed Limit Control for Mixed Traffic Flows. MED 2021: 560-565 - 2020
- [c7]Kresimir Kusic, Ivana Dusparic, Maxime Guériau, Martin Greguric, Edouard Ivanjko:
Extended Variable Speed Limit control using Multi-agent Reinforcement Learning. ITSC 2020: 1-8
2010 – 2019
- 2018
- [c6]Kresimir Kusic, Edouard Ivanjko
A Comparison of Different State Representations for Reinforcement Learning Based Variable Speed Limit Control. MED 2018: 266-271 - 2016
- [c5]Miroslav Segvic, Karolina Krajcek Nikolic, Edouard Ivanjko
A proposal for a Fully Distributed Flight Control System design. MIPRO 2016: 1099-1103 - [p1]Martin Greguric, Edouard Ivanjko, Sadko Mandzuka:
Learning-Based Control Algorithm for Ramp Metering. Autonomic Road Transport Support Systems 2016: 197-213 - 2015
- [c4]Martin Greguric, Edouard Ivanjko
A Neuro-fuzzy Based Approach to Cooperative Ramp Metering. ITSC 2015: 54-59 - [c3]Miroslav Segvic, Karolina Krajcek, Edouard Ivanjko
Technologies for distributed flight control systems: A review. MIPRO 2015: 1060-1065 - [i2]Kristian Kovacic, Edouard Ivanjko, Niko Jelusic:
Measurement of Road Traffic Parameters Based on Multi-Vehicle Tracking. CoRR abs/1510.04860 (2015) - 2014
- [c2]Martin Greguric, Edouard Ivanjko
Cooperative ramp metering simulation. MIPRO 2014: 970-975 - 2013
- [i1]Kristian Kovacic, Edouard Ivanjko, Hrvoje Gold:
Computer Vision Systems in Road Vehicles: A Review. CoRR abs/1310.0315 (2013)
2000 – 2009
- 2008
- [j1]Misel Brezak, Ivan Petrovic
Robust and accurate global vision system for real time tracking of multiple mobile robots. Robotics Auton. Syst. 56(3): 213-230 (2008) - 2005
- [c1]Edouard Ivanjko
Experimental Evaluation of Occupancy Grid Map Improvement by Sonar Data Corrections. ISIC 2005: 95-100
Coauthor Index
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last updated on 2024-11-11 21:26 CET by the dblp team
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